Zobrazeno 1 - 10
of 5 338
pro vyhledávání: '"Ribeiro, José A. A."'
This paper introduces CEopt (https://ceopt.org), a MATLAB tool leveraging the Cross-Entropy method for non-convex optimization. Due to the relative simplicity of the algorithm, it provides a kind of transparent ``gray-box'' optimization solver, with
Externí odkaz:
http://arxiv.org/abs/2409.00013
Autor:
Ribeiro, José, Cardoso, Lucas, Santos, Vitor, Carvalho, Eduardo, Carneiro, Níkolas, Alves, Ronnie
Black box models are increasingly being used in the daily lives of human beings living in society. Along with this increase, there has been the emergence of Explainable Artificial Intelligence (XAI) methods aimed at generating additional explanations
Externí odkaz:
http://arxiv.org/abs/2407.03108
The field of Artificial Intelligence has witnessed remarkable progress in recent years, especially with the emergence of powerful large language models (LLMs) based on the transformer architecture. Cloud-based LLMs, such as OpenAI's ChatGPT, offer im
Externí odkaz:
http://arxiv.org/abs/2310.01434
The search for traveltime parameters is a global optimization problem. Several metaheuristics have been proposed to locate the global optima to compute the least amount of their objective functions. However, the theoretical limitations imposed by the
Externí odkaz:
http://arxiv.org/abs/2304.11399
Autor:
Bicudo, Pedro, Ribeiro, José Emílio
We study the meson spectra in the excited QCD vacua, denominated replicas. We find all mesons have real masses, with no tachyons, thus showing the QCD replicas are indeed metastable.
Comment: 8 pages, 8 figures, contribution to the XVth Quark Co
Comment: 8 pages, 8 figures, contribution to the XVth Quark Co
Externí odkaz:
http://arxiv.org/abs/2211.10512
Strategies based on Explainable Artificial Intelligence (XAI) have promoted better human interpretability of the results of black box models. This opens up the possibility of questioning whether explanations created by XAI methods meet human expectat
Externí odkaz:
http://arxiv.org/abs/2210.10849
Autor:
Ribeiro, José, Cardoso, Lucas, Silva, Raíssa, Cirilo, Vitor, Carneiro, Níkolas, Alves, Ronnie
Publikováno v:
Expert Systems with Applications (2024)
In recent years, XAI researchers have been formalizing proposals and developing new methods to explain black box models, with no general consensus in the community on which method to use to explain these models, with this choice being almost directly
Externí odkaz:
http://arxiv.org/abs/2210.09933
Autor:
Cardoso, Lucas F. F., Ribeiro, José de S., Santos, Vitor C. A., Silva, Raíssa L., Mota, Marcelle P., Prudêncio, Ricardo B. C., Alves, Ronnie C. O.
Intelligent systems that use Machine Learning classification algorithms are increasingly common in everyday society. However, many systems use black-box models that do not have characteristics that allow for self-explanation of their predictions. Thi
Externí odkaz:
http://arxiv.org/abs/2210.01638
Publikováno v:
In Journal of Rural Studies December 2024 112
Autor:
Lermen, Fernando Henrique, Martins, Vera Lúcia Milani, Echeveste, Marcia Elisa, Ribeiro, Filipe, da Luz Peralta, Carla Beatriz, Ribeiro, José Luis Duarte
Publikováno v:
In Information Processing in Agriculture December 2024 11(4):499-511